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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | Deep Tech in Agriculture: Market Strategies for Policy Innovation and Risk Reduction |
| Authors Name: | Dr.Suraj Kamble , Abhijeet Bochare , Manasi Mahavir Patil |
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| Author Reg. ID: |
IJRTI_201972
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| Published Paper Id: | IJRTI2504032 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | The farm sector is experiencing a revolution with the application of deep technologies like artificial intelligence (AI), the Internet of Things (IoT), block chain, robotics, and high-level biotechnology. These emerging technologies provide historic possibilities for improved efficiency, sustainability, and resilience in the face of climate change, resource shortages, and food insecurity. The major obstacles to its widespread implementation, however, include high upfront costs, regulatory complications, accessibility to technology, and market uncertainties. This essay analysis the confluence of deep tech and agriculture, with emphasis on market approaches that enable adoption while reducing related risks. It discusses the importance of policy innovation in establishing an enabling environment for AgTech start-ups, investors, and farmers. The areas of analysis include incentive-based regulatory structures, data governance frameworks, risk-sharing instruments such as crop insurance and climate financing, and the role of public-private partnerships in speeding up technological integration. Regional case studies point to effective policy interventions that have led to the deep tech deployment in precision agriculture, supply chain efficiency, and climate-resilient agriculture. Evidence indicates that a multi-stakeholder model—drawing on government incentives, venture capital investment, and farmer-focused technology models—is capable of closing the innovation-practical application gap. Policymakers can avoid risks and build a long-term sustainable environment for deep tech in agriculture by integrating regulatory strategies with the needs of the market. Strategic recommendations for driving innovation-led agricultural transformation to ensure long-term benefit for food security, economic growth, and environmental sustainability conclude the research. Keywords: Deep Tech, Agriculture, AgTech, Market Strategies, Policy Innovation, Risk Management, AI, IoT, Block chain, Precision Farming, Climate-Smart Agriculture. |
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| Cite Article: | "Deep Tech in Agriculture: Market Strategies for Policy Innovation and Risk Reduction", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.a224-a233, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504032.pdf |
| Downloads: | 000277 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2504032
Registration ID:201972
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: a224-a233 Country: Pune, Maharashtra, India Research Area: Management Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504032 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504032 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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